import tensorflow as tf
from tensorflow.layers import Dense,Conv2D,Flatten,MaxPooling2D
from tensorflow.nn import relu
in_data = tf.placeholder(shape=(None,28,28,1),dtype=tf.uint8)

conv1 = Conv2D(inputs=in_data,filters=[32,3,3,1],strides=1,
                         padding='SAME',activation=tf.nn.relu,name='conv1')
relu1 = relu(conv1)
pool1 = MaxPooling2D(input_shape=)


conv2 = tf.layers.conv2d(inputs=in_data,filters=[64,3,3,1],strides=1,
                         padding='VALID',activation=tf.nn.relu,name='conv2')
relu2 = tf.nn.relu(conv2)
pool2 = tf.nn.max_pool(input=relu2,ksize=(2,2),strides=1)

conv3 = tf.layers.conv2d(inputs=in_data,filters=[128,3,3,1],strides=1,
                         padding='VALID',activation=tf.nn.relu,name='conv1')
relu3 = tf.nn.relu(conv3)
pool3 = tf.nn.max_pool(input=relu3,ksize=(2,2),strides=1)
output = tf.layers.Flatten()




